正交与斜交旋转主成分分析法在气象因子影响细颗粒物研究中的应用

基于cost733模型及大量再分析资料、观测资料,对2013-2019年冬季海平面气压及近地面风场进行正交和斜交旋转主成分分析,讨论这两种分型方法及不同分型数量下我国天气形势、降水及细颗粒物(PM2.5)的差异.结果表明,斜交旋转主成分分析法相比于正交方法,划分的天气形势更具代表性,其中,划分为4类天气形势最具代表性,...

Application of orthogonal and oblique rotation principal component analysis in the influence of meteorological factors on fine particles

Based on cost733 model, reanalysis data and observation data, the sea level pressure and near surface wind field in winter from 2013 to 2019 are analyzed by orthogonal and oblique rotation principal component methods in this study. The differences of weather situation, precipitation and fine particles (PM_2.5) in China were discussed. The results show that the weather classification under the oblique method is more representative than under the orthogonal method, and four types of weather situations are identified. The four types are Type 1 with the highest occurrence frequency and the widest range of Siberian cold high; Type 2 with the lowest occurrence frequency, weakest Siberian cold high, the largest number of heavy pollution sites and the most serious pollution; Type 3 with the largest precipitation, the largest number of clean stations, and the lightest pollution; Type 4 with deep cold cyclone located in Northeast China and the least number of heavy pollutions.